Pitfalls in quantification assessment (2021)
- Authors:
- Autor USP: HASSAN, WAQAR - ICMC
- Unidade: ICMC
- Assunto: APRENDIZADO COMPUTACIONAL
- Keywords: Quantification; Experimental Protocol
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- ISSN: 1613-0073
- Conference titles: ACM International Conference on Information and Knowledge Management - CIKM
-
ABNT
HASSAN, Waqar e MALETZKE, André Gustavo e BATISTA, Gustavo Enrique de Almeida Prado Alves. Pitfalls in quantification assessment. 2021, Anais.. Aachen: CEUR-WS, 2021. Disponível em: http://ceur-ws.org/Vol-3052/paper23.pdf. Acesso em: 10 jan. 2026. -
APA
Hassan, W., Maletzke, A. G., & Batista, G. E. de A. P. A. (2021). Pitfalls in quantification assessment. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-3052/paper23.pdf -
NLM
Hassan W, Maletzke AG, Batista GE de APA. Pitfalls in quantification assessment [Internet]. Proceedings. 2021 ;[citado 2026 jan. 10 ] Available from: http://ceur-ws.org/Vol-3052/paper23.pdf -
Vancouver
Hassan W, Maletzke AG, Batista GE de APA. Pitfalls in quantification assessment [Internet]. Proceedings. 2021 ;[citado 2026 jan. 10 ] Available from: http://ceur-ws.org/Vol-3052/paper23.pdf - An efficient and accurate method for binary quantification
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- Accurately quantifying a billion instances per second
- The importance of the test set size in quantification assessment
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